ML Anthology

Rauba, Paulius

5 publications

ICLR 2026 Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models Paulius Rauba, Mihaela van der Schaar
ICML 2025 Statistical Hypothesis Testing for Auditing Robustness in Language Models Paulius Rauba, Qiyao Wei, Mihaela Van Der Schaar
AISTATS 2025 Visualizing Token Importance for Black-Box Language Models Paulius Rauba, Qiyao Wei, Mihaela Schaar
NeurIPS 2024 Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar
NeurIPS 2024 Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar